2023
DOI: 10.1016/j.applthermaleng.2023.120878
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Taguchi optimization and analysis of variance for thermoelectric generators with forced convection air cooling

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Cited by 11 publications
(3 citation statements)
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“…For the other factors, however, the corresponding F-values are all less than 3.46, indicating their effects on the objective function are insignificant and can almost be ignored. The effect of the selected factor could also be evaluated by the percentage of contribution of the factor estimated by the ratio of the corresponding value of the sum of square (SS) to the sum of all the SS values [43]. According to the data in Tables 3-5, Factor B presents the major dominant factor, in which the percentage is over 99% in the three cases.…”
Section: Analysis Of Variance (Anova)mentioning
confidence: 99%
“…For the other factors, however, the corresponding F-values are all less than 3.46, indicating their effects on the objective function are insignificant and can almost be ignored. The effect of the selected factor could also be evaluated by the percentage of contribution of the factor estimated by the ratio of the corresponding value of the sum of square (SS) to the sum of all the SS values [43]. According to the data in Tables 3-5, Factor B presents the major dominant factor, in which the percentage is over 99% in the three cases.…”
Section: Analysis Of Variance (Anova)mentioning
confidence: 99%
“…It has an open circuit voltage of 856.3 V and an output power of 150.58 W. However, the water-cooling method requires additional energy consumption based on the installation load of complex pipes. Murčinková et al [10] tested the output performance of the stove-power TEG under forced air cooling with a temperature difference of 94 • C and an output power of 1.5 W. Chen et al [11] also simulated forced convection cooling of natural wind speed by Taguchi optimization and operated it at low mass waste heat temperature to further improve TEG performance. Nevertheless, the installation of fans in practical applications often encounters challenges such as noise, structural design, and maintenance issues, leading to limitations in their applicability.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, in the research of biological chemistry, the Taguchi method was applied to investigate the optimal conditions for the preparation of pure parapyruvate, where the concentration of the solution and the pH value of the reaction were chosen as the control factors [22]. In [23], the Taguchi method was utilized to optimize the operating conditions of a thermoelectric generator, where the hot side temperature, the heat sink size, and the wind airspeed were the parameters to be optimized. Moreover, with imprecise or subjective data, fuzzy and genetic algorithm-based Taguchi methods have been investigated, which allow for a more realistic representation of uncertainties, leading to robust and reliable optimization results [24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%